Evaluation of a Substitution Method for Idiom Transformation in Statistical Machine Translation

نویسندگان

  • Giancarlo Salton
  • Robert J. Ross
  • John D. Kelleher
چکیده

We evaluate a substitution based technique for improving Statistical Machine Translation performance on idiomatic multiword expressions. The method operates by performing substitution on the original idiom with its literal meaning before translation, with a second substitution step replacing literal meanings with idioms following translation. We detail our approach, outline our implementation and provide an evaluation of the method for the language pair English/Brazilian-Portuguese. Our results show improvements in translation accuracy on sentences containing either morphosyntactically constrained or unconstrained idioms. We discuss the consequences of our results and outline potential extensions to this process.

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تاریخ انتشار 2014